PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-03-08 10:22:12.054585+00:00 (UTC)
In US/Central Time, this is 2024-03-08 04:22:12.054585-06:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/e5a6c9286366e35dc56fe8819327b0287323bf5c6bab264db43827c253df5595.png
We are just generating a random time serie here.
../../_images/d4b567fc7bc0f1c4eaa91f3cbbd8bbfbde174d3e4e7834a32ed5ded667fd2abb.png
../../_images/4e573c223609996c0c62be30a8bd2b2b505ad59999495639de2919c7e6cc681d.png